Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/169915
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dc.contributor.authorWang, Yuen_US
dc.contributor.authorShi, Chaoen_US
dc.date.accessioned2023-08-15T01:52:53Z-
dc.date.available2023-08-15T01:52:53Z-
dc.date.issued2023-
dc.identifier.citationWang, Y. & Shi, C. (2023). Data-driven analysis of soil consolidation with prefabricated vertical drains considering stratigraphic variation. Computers and Geotechnics, 161, 105569-. https://dx.doi.org/10.1016/j.compgeo.2023.105569en_US
dc.identifier.issn0266-352Xen_US
dc.identifier.urihttps://hdl.handle.net/10356/169915-
dc.description.abstractIn coastal cities such as Hong Kong, rapid reclamation using prefabricated vertical drains (PVDs) is preferred as it can accelerate land supply to meet the urgent demand for houses. A robust PVD design relies on the correct identification of permeable soil layers and accurate delineation of their stratigraphic connectivity with surrounding drainage boundaries. The current engineering practice often ignores the physical locations of minor drainage boundaries (e.g., sand lenses) in the subsurface stratigraphy and might lead to a false interpretation of potential drainage and consolidation mechanisms. In this study, a data-driven analysis framework that takes stratigraphic uncertainty into consideration is proposed to investigate the spatiotemporal consolidation of PVD-improved ground using sparse site investigation data often encountered in engineering practice. The method adaptively develops multiple geological cross-sections from limited measurements and prior knowledge that is reflected by a single training image. The resulting multiple geological realizations serve as the input for PVD analysis. The proposed data-driven framework allows for a probabilistic evaluation of soil spatiotemporal behavior in terms of the degree of consolidation and future ground settlement. More importantly, the proposed method accurately predicts the spatial distribution of stratigraphic boundaries with quantified uncertainty, which significantly influences the consolidation mechanism.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.description.sponsorshipNanyang Technological Universityen_US
dc.language.isoenen_US
dc.relationRS03/23en_US
dc.relationNTU-SUGen_US
dc.relation.ispartofComputers and Geotechnicsen_US
dc.rights© 2023 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Civil engineeringen_US
dc.titleData-driven analysis of soil consolidation with prefabricated vertical drains considering stratigraphic variationen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.identifier.doi10.1016/j.compgeo.2023.105569-
dc.identifier.scopus2-s2.0-85162095156-
dc.identifier.volume161en_US
dc.identifier.spage105569en_US
dc.subject.keywordsStochastic Simulationen_US
dc.subject.keywordsRisk Managementen_US
dc.description.acknowledgementThe work described in this paper was supported by a grant from the Research Grant Council of Hong Kong Special Administrative Region (Project no. CityU 11202121), a grant from the Innovation and Technology Commission of Hong Kong Special Administrative Region (Project No: MHP/099/21), and a grant from Shenzhen Science and Technology Innovation Commission (Shenzhen-Hong Kong-Macau Science and Technology Project (Category C) No: SGDX20210823104002020), China. The research was also supported by the Ministry of Education, Singapore, under its Academic Research Fund (AcRF) Tier 1 Seed Funding Grant (Project no. RS03/23) and the Startup grant from Nanyang Technological University.en_US
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